A Novel Model of Normal Random Variable Based on Data-Oriented Theory

Data-oriented is a new and applied theory which provides methods that models the concepts with data structures. By using these models in modern computing systems, required inference can be done efficiently. In this paper a novel model of normal random variable based on Data-oriented theory by using probability tree is presented which will be able to do probability and statistical inferences in different ways by computer.